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Techniques for Analysis of the Effectiveness of Yoga Through EEG Signals: A Review

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • Rahul Goyat

    (GJUS&T, Department of BME)

  • Anil Khatak

    (GJUS&T, Department of BME)

  • Seema Sindhu

    (GJUS&T, Department of BME)

Abstract

Yoga can significantly contribute to giving physical and mental relaxation as high-frequency brain waves (Gamma) generated according to specified yoga techniques. Yoga techniques like Pranayama (AnulomVilom, Kriya Yoga, etc.), Sudarshan Kriya, Super Brain Yoga, Meditation is getting huge admiration as a most feasible solution for healing stress, anxiety and depression-related brain disorders and increase in the brain performance after yoga sessions. Incorporating various yoga techniques has positively affected the human mind which leads to better social behavior in daily life and helps in relaxing mind. Various techniques which are utilized for analyzing the electroencephalograph (EEG) signals which are taken from the different subjects are reviewed in this article. Therefore, the objective of this article was to inspect and study the already present written works on the various outcomes of different yoga techniques on mind waves with the use of electroencephalography.

Suggested Citation

  • Rahul Goyat & Anil Khatak & Seema Sindhu, 2020. "Techniques for Analysis of the Effectiveness of Yoga Through EEG Signals: A Review," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 547-553, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_53
    DOI: 10.1007/978-3-030-41862-5_53
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